Evidence map›Paper›PMID 31355982›Full record

ArticleThe Plant journal : for cell and molecular biology2019

Comparative analysis of metabolome of rice seeds at three developmental stages using a recombinant inbred line population.

Kang Li, Dehong Wang, Liang Gong, Yuanyuan Lyu, Hao Guo, Wei Chen, Cheng Jin, Xianqing Liu, Chuanying Fang, Jie Luo

Abstract readComparative Study
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Fine mapping and cloning of a novel BrSCC1 gene for seed coat color in Brassica rapa L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  8. Review
  9. Frontiers in plant science · 2023
    Article
  10. Review
  11. Metabolic Profiles Reveal Changes in the Leaves and Roots of Rapeseed (International journal of molecular sciences · 2022
    Article
  12. Applications of Genomic Tools in Plant Breeding: Crop Biofortification.International journal of molecular sciences · 2022
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Tricin Biosynthesis and Bioengineering.Frontiers in plant science · 2021
    Review
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Kang LiNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Research, Huazhong Agricultural University, Wuhan, 430070, China.
Dehong WangNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Research, Huazhong Agricultural University, Wuhan, 430070, China.
Liang GongThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Yuanyuan LyuNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Research, Huazhong Agricultural University, Wuhan, 430070, China.
Hao GuoNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Research, Huazhong Agricultural University, Wuhan, 430070, China.
Wei ChenCollege of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.
Cheng JinNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Research, Huazhong Agricultural University, Wuhan, 430070, China.
Xianqing LiuHainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, College of Tropical Crops, Hainan University, Haikou, 570288, China.
Chuanying FangHainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, College of Tropical Crops, Hainan University, Haikou, 570288, China.ORCID 0000-0003-3588-8743
Jie LuoNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Research, Huazhong Agricultural University, Wuhan, 430070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants are considered an important food and nutrition source for humans. Despite advances in plant seed metabolomics, knowledge about the genetic and molecular bases of rice seed metabolomes at different developmental stages is still limited. Here, using Zhenshan 97 (ZS97) and Minghui 63 (MH63), we performed a widely targeted metabolic profiling in seeds during grain filling, mature seeds and germinating seeds. The diversity between MH63 and ZS97 was characterized in terms of the content of metabolites and the metabolic shifting across developmental stages. Taking advantage of the ultra-high-density genetic map of a population of 210 recombinant inbred lines (RILs) derived from a cross between ZS97 and MH63, we identified 4681 putative metabolic quantitative trait loci (mQTLs) in seeds across the three stages. Further analysis of the mQTLs for the codetected metabolites across the three stages revealed that the genetic regulation of metabolite accumulation was closely related to developmental stage. Using in silico analyses, we characterized 35 candidate genes responsible for 30 structurally identified or annotated compounds, among which LOC_Os07g04970 and LOC_Os06g03990 were identified to be responsible for feruloylserotonin and l-asparagine content variation across populations, respectively. Metabolite-agronomic trait association and colocation between mQTLs and phenotypic quantitative trait loci (pQTLs) revealed the complexity of the metabolite-agronomic trait relationship and the corresponding genetic basis.

Indexed as

AsparagineChromosome MappingChromosomes, PlantGerminationMetabolomeMetabolomicsOryzaPhenotypePlants, Genetically ModifiedQuantitative Trait LociSeedsSerotoninAsparagineSerotoningerminating seedsmature seedsmetabolic quantitative trait locimetabolomerice seedsseeds during grain filling

Identifiers

PMID31355982
PMCPMC6899760

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.